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219 results for “molecular investigation”

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zenodo36/100

Molecular investigation of bacterial communities on two frequently used surfaces in the São Paulo institute of tropical medicine

<p>In this study, we aimed to investigate the overall bacterial population on two frequently used surfaces in the S&atilde;o Paulo institute of tropical medicine (ITM) using a culture-independent Illumina massively parallel sequencing approach of the 16S rRNA genes. The massive parallel sequencing data presented here were derived from the surface samples collected from restroom surfaces and the fingerprint door clock system (FDLS) in our ITM in S&atilde;o Paulo.</p>

opencc-zeroMar 2016View details →
zenodo36/100

Design and assembly of core/shell nanostructures as investigated by microfluidics and molecular dynamics simulation_dataset_DLS_TEM_MD

<p><span>He we like to publish data related to modified and non-modified MSN cores analysed using microfluidics platform against acetalated dextran (AcDEX)/spermine modified acetalated dextran (SpAcDEX) polymers. </span></p> <p><span>The data contains Dynamic light scattering (DLS) and TEM images which help us to to the demarcation of combinations which formed successful core/shell particles along with,&nbsp;<em>in-silico</em> modelling and molecular dynamics (MD) simulations data showing molecular interactions between the core particles and&nbsp;<a>the encapsulant </a></span><span><span></span></span><span>polymer.&nbsp;</span></p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Surface science and liquid phase investigations of oxanorbornadiene/oxaquadricyclane ester derivatives as molecular solar thermal energy storage systems on Pt(111) [doi: 10.1063/5.0158124]

<p>Primary data, meta data, and corresponding lists of figures &amp; tables are included. [doi: 10.1063/5.0158124]</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Advanced Molecular Dynamics Model for Investigating Biological-Origin Microfibril Structures

<p>This data contains all necessary input file to construct the micro fibril.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Towards a rapid sequencing-based molecular surveillance and mosaicism investigation of Toxoplasma gondii (nucleotide alignment dataset)

<p>This dataset includes the nucleotide alignment of eight Toxoplasma gondii genome loci (Sag1 / Chromossome VIII, Gra6 / Chromossome X, PK1 / Chromossome VI, Sag3 / Chromossome XII, L363 / Chromossome VIIb, CB21-4 / Chromossome III, M102 / Chromossome VIIa, Sag2&nbsp;/ Chromossome VIII). Each alignment includes sequences from T. gondii reference strains (retrieved from ToxoDB) as well as sequences from multiple clinical strains (obtained by Sanger /&nbsp;Next-generation sequencing) of the collection of the&nbsp;National Reference Laboratory of Parasitic and Fungal Infections, Department of Infectious Diseases, National Institute of Health Dr. Ricardo Jorge, Portugal.&nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

Fig. 1 in Molecular and morphological approaches for species delimitation and hybridization investigations of two Cichla species

Fig. 1. Sample sites location in the Paraná and Tietê rivers, state of São Paulo, Brazil.

opencc-by-4.0Dec 2017View details →
zenodo36/100

Investigation of the behavior of dioxadet molecules in water by molecular dynamics

<p>A set of files for all-atom molecular dynamic simulations of a dioxadet molecule in water for four parametrizations obtained with a number of tools: ATBuilder, Amber tools, and Swiss Parameters.</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

Data from: Small, but mitey: investigating the molecular genetic basis for mite domatia development and intraspecific variation in Vitis riparia using transcriptomics

Open the record for dataset details and reuse information.

publicOct 2024View details →
zenodo32/100

Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition"

<p>Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition".</p> <p>neutron_data.zip --&gt; neutron data in .nxspe form. S(Q,E) calculated using the DAVE software. Includes logbook spreadsheet.&nbsp;</p> <p>Training_Data.xyz --&gt; xyz file containing training data used to generate Allegro machine learning forcefield in the paper</p> <p>nh3_pimd.deploy --&gt; Trained Allegro model to that can be used in LAMMPS and RXMD software a ML forcefield&nbsp;</p> <p>POSCAR_UNIT_CELL_AMMONIA --&gt; NH3 unit cell in solid phase in POSCAR format that can be read by the VASP software used to perform the DFT simmulations.</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

FIGURE 2 in Molecular investigation of the intra-specific genetic variation in Plantago ovata Forssk. (Plantaginaceae): An insight into potential ancestral area distribution and probable time of dispersal versus vicariance events

FIGURE 2 Combined RASP and chronological tree of BEAST for P. ovata accessions (The scale numbers are in MY).

opennotspecifiedAug 2022View details →
zenodo32/100

FIGURE1 in Molecular investigation of the intra-specific genetic variation in Plantago ovata Forssk. (Plantaginaceae): An insight into potential ancestral area distribution and probable time of dispersal versus vicariance events

FIGURE1 TCS network of the studied P. ovata plants based on ITS sequences showing a higher level of nucleotide replacement within the Asiatic samples (Hatch marks indicate the number of mutations).

opennotspecifiedAug 2022View details →
zenodo32/100

Molecular simulations to investigate the impact of N6-methylation in RNA recognition: Improving accuracy and precision of binding free energy prediction

<p>Dataset relative to Molecular dynamics simulation performed for the work "Molecular simulations to investigate the impact of N6-methylation in RNA recognition: Improving accuracy and precision of binding free energy prediction".<br><br>The dataset contains data of 42 alchemical simulations and is subdivided in 4 zip files.<br><br>Folders are named following the scheme: system_configuration_forcefield.<br>Zip file C1 contains .mdp files used for all the simulations.<br><br>Folders corresponding to simulations performed with the fit5_AC ff contains:<br>- topology files (topol.top, topol_RNA_chain_A.itp, topol_RNA_chain_B.itp)<br>- index files needed to reconstruct the demuxed trajectories (replica_index.xvg , replica_index.xvg)<br>- 16 folders, one for each replica (lam0 ... lam15), containing:<br>&nbsp;&nbsp; - final configuration (confout.gro)<br>&nbsp;&nbsp; - log file (md.log)</p> <p>&nbsp; - input file for md run (md.tpr)<br>&nbsp;&nbsp; - energies for the concatenated trajectories recomputed for the realtive replica hamiltonian (ener_trj_conc.edr)<br><br>Folders corresponding to simlations performed with fit_A parametrization only contains .edr files corresponding to energies for the concatenated trajectory computed for 14 set of DeQs drawn from&nbsp; a gaussian distribution, with the relative topologies.<br><br>Supplementary materials relative to simlations performed with fit_A parametrizationcan be found in: https://zenodo.org/records/6498021</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Experimental microwave spectroscopic and quantum-chemical investigation of the HCl(H2O)n (n=1-5,7) molecular clusters

<p>In this dataset, experimental microwave rotational spectroscopy data and corresponding theoretical calculations for the HCl(H2O)n (n=1-5,7) clusters are stored.&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Data for "Investigating molecular transport in the human brain from MRI with physics-informed neural networks"

<p>Data analyzed in Zapf <em>et al.</em> <a href="https://www.nature.com/articles/s41598-022-19157-w">Investigating molecular transport in the human brain from MRI with physics-informed neural networks</a> (Scientific Reports 2022).</p> <p>The data consists of CSF tracer concentrations in the brain subregions analyzed in the article. The data was pre-processed as described in S1.1 in the supplementarty materials.&nbsp;</p> <p>In Python, load the data as numpy arrays using the nibabel package as</p> <pre><code>import nibabel data = nibabel.load("068/concentrations/24h.mgz").get_fdata() domain_mask = nibabel.load("068/masks/roi.mgz").get_fdata().astype(bool)<br>And view slices of the data as:</code></pre> <div> <div><span>plt</span><span>.</span><span>figure</span><span>()</span></div> <div><span>plt</span><span>.</span><span>imshow</span><span>(</span><span>np</span><span>.take(</span><span>data</span><span>, </span><span>150</span><span>, </span><span>0</span><span>), </span><span>vmax</span><span>=</span><span>0.1</span><span>)</span></div> <div><span>plt</span><span>.</span><span>figure</span><span>()</span></div> <div><span>plt</span><span>.</span><span>imshow</span><span>(</span><span>np</span><span>.take(</span><span>data</span><span>, </span><span>100</span><span>, </span><span>1</span><span>), </span><span>vmax</span><span>=</span><span>0.1</span><span>)</span></div> <div><span>plt</span><span>.</span><span>figure</span><span>()</span></div> <div><span>plt</span><span>.</span><span>imshow</span><span>(</span><span>np</span><span>.take(</span><span>data</span><span>, </span><span>100</span><span>, </span><span>2</span><span>), </span><span>vmax</span><span>=</span><span>0.1</span><span>)</span></div> <div><span>plt</span><span>.</span><span>show</span><span>()</span></div> </div> <pre>&nbsp;</pre>

opencc-by-4.0May 2024View details →
zenodo32/100

The molecular investigation of Blood cockles (Anadara granosa) associated bacterial communities using 16S rRNA sequencing

<p>This data on the bacterial communities and its diversity associated with&nbsp;<em>Anadara granosa</em>. The&nbsp;<em>Anadara granosa</em>&nbsp;samples were obtained from two major estuaries in Penang, Malaysia using a culture dependent and 16S rRNA sequencing approach.</p>

opencc-by-4.0Feb 2018View details →
zenodo32/100

FIGURE 8 in Morphological and molecular systematic investigation of Laurencia karachiana sp. nov. (Ceramiales, Rhodophyta) from Karachi, Pakistan

FIGURE 8. Holotype of Laurencia platyclada (NY00900238). The image belongs to The C.V. Starr Virtual Herbarium (http://sweetgum. nybg.org/science/vh/)

opennotspecifiedMay 2019View details →
zenodo32/100

FIGURE 6 in Morphological and molecular systematic investigation of Laurencia karachiana sp. nov. (Ceramiales, Rhodophyta) from Karachi, Pakistan

FIGURE 6. Laurencia karachiana Bibi, Cassano &amp; Rasheed sp. nov. (A) Female branches. (B) Detail of the branchlets showing cystocarps disposed subapically. (C) Longitudinal section through female branchlet with prominent cystocarp without protuberant ostiole. (D) Procarp-bearing segment with five pericentral cells, the fifth becoming the supporting cell (SU) of carpogonial branch; central cell of procarp-bearing segment (c), lateral sterile group (ls). (E) Development of young procarp; basal cell of trichoblast (bt) which supports the procarp; central cell of procarp-bearing segment (c) with five pericentral cells. (F) Procarp before fertilization with four-celled carpogonial branch (cb), carpogonium (cg), trichogyne (tr, unfocused), supporting cell (SU), lateral sterile group (ls), basal sterile group (bs). Scale bar: A, 2 mm; B, 1 mm; C, 200 μm; D-F, 10 mm.

opennotspecifiedMay 2019View details →
zenodo32/100

FIGURE 7 in Morphological and molecular systematic investigation of Laurencia karachiana sp. nov. (Ceramiales, Rhodophyta) from Karachi, Pakistan

FIGURE 7. Laurencia karachiana Bibi, Cassano &amp; Rasheed sp. nov. (A) Tetrasporangial branches. (B) Detail of tetrasporangial branchlets. (C) Transverse section of tetrasporangial axial segment showing axial cell (a) and two fertile pericentral cells, the third and fourth (arrows); the other two pericentral cells remain vegetative (p). (D) Detail of fertile pericentral cell (fp) with two pre-sporangial cover cells (pr), tetrasporangium (te); post-sporangial cover cell (po). (E) Longitudinal section through apical portion of tetrasporangial branchlet showing origin of tetrasporangia (te) from axial cell (arrow), fertile pericentral cells (fp) and pre-sporangial cover cells (pr). (F) Longitudinal section through a tetrasporangial branchlet showing parallel arrangement of tetrasporangia. Scale bar: A, 2 mm; B, 1 mm; C-E, 25 μm; F, 100 μm.

opennotspecifiedMay 2019View details →
zenodo32/100

FIGURE 4 in Morphological and molecular systematic investigation of Laurencia karachiana sp. nov. (Ceramiales, Rhodophyta) from Karachi, Pakistan

FIGURE 4. Laurencia karachiana Bibi, Cassano &amp; Rasheed sp. nov. (A) Habit of male gametophyte (Holotype KUH-SW-1312). (B) Habit of female gametophyte (Isotype SPF58339). (C) Habit of tetrasporophyte (Isotype SPF58339). (D) Detail of basal portion of the thallus showing discoid holdfast. (E) Cortical cells in surface view showing corps en cerise (one per cell) in living material. (F) Cortical cells in surface view showing secondary pit-connections (arrow). (F) Transverse section of thallus. Scale bar: A, 1 cm; B and C, 2 cm; D, 2 mm; E-F, 50 μm; G, 100 μm.

opennotspecifiedMay 2019View details →
zenodo32/100

FIGURE 5 in Morphological and molecular systematic investigation of Laurencia karachiana sp. nov. (Ceramiales, Rhodophyta) from Karachi, Pakistan

FIGURE 5. Laurencia karachiana Bibi, Cassano &amp; Rasheed sp. nov. (A) Transverse section of upper portion of branch showing an axial cell (arrow) with four pericentral cells (p). (B) Detail of medullary cell with lenticular thickening (arrow). (C) Male branches. (D) Detail of compound-cymose male branches. (E) Longitudinal section through a male branchlet showing spermatangial branches in cup-shaped tips. (F) Detail of of trichoblast-type spermatangial branches with two laterals, sterile (arrow) and spermatangial branches. (G) Detail of spermatangial branches with terminal vesicular sterile cells (arrow) and spermatangia with an apical nucleus. Scale bar: A and B, F and G, 25 μm; C, 2 mm; D, 1 mm; E, 100 μm.

opennotspecifiedMay 2019View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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